In view of multicell downlink time division multiplexing (TDD) massive multiple-input multiple-output (MIMO) systems which had imperfect channel state information (CSI), the beamforming problem that minimized the total transmit power and signal leakage power based on quality of service (QoS) was studied. First, the objective problem was approximated as a st and ard convex optimization problem. Then, by using the duality of uplink and downlink, an inner and outer layer iterative algorithm was proposed. Numerical results show that, comparing with other typical downlink multicell massive MIMO beamforming algorithms, the proposed algorithm has obvious advantages in terms of complexity and energy efficiency.%针对非理想信道状态信息(CSI,channel state information)下的多小区下行时分复用(TDD,time division multiplexing)大规模多入多出(MIMO,multiple-input multiple-output)系统,研究了基于服务质量(QoS,quality of service)的发射功率和小区间泄露功率最小的波束成形问题.首先,将目标问题近似成凸优化问题,然后,利用上下行链路对偶性,提出一种内外层迭代算法.数值分析结果表明,所提算法与其他几种典型的多小区波束成形算法相比,在算法复杂度和能量效率性能指标方面具有明显优势.
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